DocumentCode
3600369
Title
Strategies for multi-asset surveillance
Author
Spears, William M. ; Zarzhitsky, Dimitri ; Hettiarachchi, Suranga ; Kerr, W.
Author_Institution
Dept. of Comput. Sci., Wyoming Univ., Laramie, WY, USA
fYear
2005
Firstpage
929
Lastpage
934
Abstract
This paper describes our "sandbox" for the study of multi-asset surveillance, and explores the performance of rule-based control strategies on this task. In order to maximize the probability of detection of targets of interest, it is assumed that the team of unmanned air vehicles (UAVs) must provide maximum sensory coverage of the terrain. We demonstrate, however, both through simulation and mathematical analysis, that this is not always the case.
Keywords
aircraft control; knowledge based systems; mathematical analysis; remotely operated vehicles; surveillance; mathematical analysis; maximum sensory coverage; multi-asset surveillance strategy; rule-based control strategies; unmanned air vehicles; Analytical models; Clustering algorithms; Computer science; Genetics; Mathematical analysis; Object detection; Robustness; Surveillance; Unmanned aerial vehicles; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN
0-7803-8812-7
Type
conf
DOI
10.1109/ICNSC.2005.1461318
Filename
1461318
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